We show that differential privacy type guarantees can be obtained when using a Poisson synthesis mechanism to protect counts in contingency tables. Specifically, we show how to obtain $(\epsilon, \delta)$-probabilistic differential privacy guarantees via the Poisson distribution's cumulative distribution function. We demonstrate this empirically with the synthesis of an administrative-type confidential database.

翻译：本文证明，在使用泊松合成机制保护列联表中计数数据时，可以获得差分隐私类型的保障。具体而言，我们展示了如何通过泊松分布的累积分布函数实现$(\epsilon, \delta)$-概率差分隐私保证。我们通过对一类行政保密数据库的合成过程进行实证研究，验证了该方法的有效性。